Runpod
Runpod develops a cloud computing platform for AI and machine learning workloads, offering GPU Pods for dedicated instances, Serverless GPU endpoints for autoscaling inference, and Clusters for multi-GPU distributed training. Its public endpoints and documentation serve developers and enterprises building and deploying AI models.
- Status
- Active
- Checked 29 Oct 2026
- Tools listed
- 1
Tools from Runpod
- Usage-based GPU pricingRates vary by GPU, deployment model, and storage; see the rate table.
When Runpod launches another product, it gets its own record here.
From @runpod
Recent important posts · features
- New feature
Runpod Batch Inference handles 3 million requests a day
“A big embedding backfill hits your max workers limit though nobody is waiting on it. Batch Inference on Serverless takes up to 3 million requests a day on dedicated workers, on your own model. Limits depend on your account.”
@runpod · Oct 28View - New feature
Runpod PyTorch templates now cover versions 2.6 through 2.13
“Community feedback told us to update our PyTorch templates. The new lineup covers PyTorch 2.6, 2.7, 2.8, 2.9, 2.12, and 2.13. Each version is available with several CUDA versions. Find the full breakdown here:”
@runpod · Oct 24View
History
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